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Our results indicate that measurement uncertainty does not meet target uncertainty requirements for certain applications.
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Note that even if the effects of the DBL and lateral diffusion cancel each other, their contributions to the measurement uncertainty do not.
But uncertainty does no good to anyone.
The combined uncertainty does not exceed 6.3%.
Uncertainty does exert a considerable effect.
Ideally, even smaller windows would be preferable to differentiate regions where reads cluster from those with a high number of randomly distributed reads, but the ∼30 bp measurement uncertainty prevents us to do so.
Since we only consider the measurement uncertainties here, but do not consider the uncertainties from the separation approach and irregular GPS distribution, maybe we underestimate the uncertainties.
However, most organizations using transient hot wire method (THWM) for measurement of the thermal conductivity did not perform the measurement uncertainty analysis.
A sensitivity analysis of the model has shown that the measurement uncertainty of the inputs to the model does not affect the validity of the results.
Measurement uncertainty comprises of random measurement errors but does neither account for systematic errors (bias) which can be corrected nor for principle measurement and sampling failures.
GUM and Monte Carlo simulation did not differ in measurement uncertainty with precision to two decimal places.
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